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Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships betweenthe structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing.
This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.
Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships betweenthe structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing.
This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.
Dr. Lü was a recipient of the prestigious Ho Leung Ho Lee Foundation Award in 2015; the Chinese Government's State Natural Science Award in 2008, 2012, and 2016; the Australian Research Council Future Fellowships Award in 2009; the National Natural Science Fund for Distinguished Young Scholars Award; and Highly Cited Researcher Awards in engineering from 2014 to 2019. He is/was an Editor for 15 SCI journals, including the Co-Editor-in-Chief of IEEE TII, and served on the Fellows Evaluating Committee of the IEEE CASS, the IEEE CIS, and the IEEE IES. He was the general Co-Chair of IECON 2017. He is a Fellow of IEEE and CAA.
Pei Wang is an Associate Professor at the School of Mathematics and Statistics, Henan University, Kaifeng, China. He received his M.Sc. and Ph.D. in Computational Mathematics from the School of Mathematics and Statistics, Wuhan University, China, in 2009 and 2012, respectively. He was a Visiting Research Fellow at the School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia. His research interests include biostatistics, systems biology, andcomplex networks. He is the author of more than 30 SCI journal papers, and serves as a reviewer for the American Mathematical Reviews. He is a member of the Technical Committee on Complex Systems and Complex Networks, China Society for Industrial and Applied Mathematics.
Describes how to reconstruct bio-molecular networks
Presents modeling and analysis approaches for bio-molecular networks ranging from network motifs to large-scale networks
Discusses various sophisticated statistical methods for analysing large-scale bio-molecular networks and omics data
| Erscheinungsjahr: | 2021 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Biologie |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxi
464 S. 21 s/w Illustr. 123 farbige Illustr. 464 p. 144 illus. 123 illus. in color. |
| ISBN-13: | 9789811591464 |
| ISBN-10: | 9811591466 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Wang, Pei
Lü, Jinhu |
| Auflage: | 1st ed. 2020 |
| Hersteller: |
Springer Singapore
Springer Nature Singapore |
| Maße: | 235 x 155 x 27 mm |
| Von/Mit: | Pei Wang (u. a.) |
| Erscheinungsdatum: | 08.12.2021 |
| Gewicht: | 0,733 kg |
Dr. Lü was a recipient of the prestigious Ho Leung Ho Lee Foundation Award in 2015; the Chinese Government's State Natural Science Award in 2008, 2012, and 2016; the Australian Research Council Future Fellowships Award in 2009; the National Natural Science Fund for Distinguished Young Scholars Award; and Highly Cited Researcher Awards in engineering from 2014 to 2019. He is/was an Editor for 15 SCI journals, including the Co-Editor-in-Chief of IEEE TII, and served on the Fellows Evaluating Committee of the IEEE CASS, the IEEE CIS, and the IEEE IES. He was the general Co-Chair of IECON 2017. He is a Fellow of IEEE and CAA.
Pei Wang is an Associate Professor at the School of Mathematics and Statistics, Henan University, Kaifeng, China. He received his M.Sc. and Ph.D. in Computational Mathematics from the School of Mathematics and Statistics, Wuhan University, China, in 2009 and 2012, respectively. He was a Visiting Research Fellow at the School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia. His research interests include biostatistics, systems biology, andcomplex networks. He is the author of more than 30 SCI journal papers, and serves as a reviewer for the American Mathematical Reviews. He is a member of the Technical Committee on Complex Systems and Complex Networks, China Society for Industrial and Applied Mathematics.
Describes how to reconstruct bio-molecular networks
Presents modeling and analysis approaches for bio-molecular networks ranging from network motifs to large-scale networks
Discusses various sophisticated statistical methods for analysing large-scale bio-molecular networks and omics data
| Erscheinungsjahr: | 2021 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Biologie |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxi
464 S. 21 s/w Illustr. 123 farbige Illustr. 464 p. 144 illus. 123 illus. in color. |
| ISBN-13: | 9789811591464 |
| ISBN-10: | 9811591466 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Wang, Pei
Lü, Jinhu |
| Auflage: | 1st ed. 2020 |
| Hersteller: |
Springer Singapore
Springer Nature Singapore |
| Maße: | 235 x 155 x 27 mm |
| Von/Mit: | Pei Wang (u. a.) |
| Erscheinungsdatum: | 08.12.2021 |
| Gewicht: | 0,733 kg |
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